CoolFace
Modelpublic

bryandts/image_classification_face

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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imageclassificationface

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.1157
  • —Accuracy: 0.625

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • —learning_rate: 8e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0401.62660.475
No log2.0801.33030.5375
No log3.01201.23990.525
No log4.01601.17790.5563
No log5.02001.18250.55
No log6.02401.15640.5875
No log7.02801.12580.6125
No log8.03201.11540.625
No log9.03601.11690.6062
No log10.04001.11550.625

Framework versions

  • —Transformers 4.33.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3